2 citations · 3 across the 4 of their papers we have counts for
4 papers
Leveraging Adaptive Implicit Representation Mapping for Ultra High-Resolution Image Segmentation
Ziyu Zhao, Xiaoguang Li, Pingping Cai +2
Implicit representation mapping (IRM) can translate image features to any continuous resolution, showcasing its potent capability for ultra-high-resolution image segmentation refin…
SAIR: Learning Semantic-aware Implicit Representation
Canyu Zhang, Xiaoguang Li, Qing Guo +1
Implicit representation of an image can map arbitrary coordinates in the continuous domain to their corresponding color values, presenting a powerful capability for image reconstru…
SuperInpaint: Learning Detail-Enhanced Attentional Implicit Representation for Super-resolutional Image Inpainting
Canyu Zhang, Qing Guo, Xiaoguang Li +4
In this work, we introduce a challenging image restoration task, referred to as SuperInpaint, which aims to reconstruct missing regions in low-resolution images and generate comple…
Few-Shot 3D Point Cloud Semantic Segmentation via Stratified Class-Specific Attention Based Transformer Network
Canyu Zhang, Zhenyao Wu, Xinyi Wu +2
3D point cloud semantic segmentation aims to group all points into different semantic categories, which benefits important applications such as point cloud scene reconstruction and…